Success Stories & Market Trends

Client Overview

The client needed a resilient, AI-driven platform to cater to the engineering and scientific research community. They aimed to provide users with precise answers through semantic search algorithms, rather than just search results.

Strategic Pain Points

The scientific research platform provider encountered serious limitations with their search capabilities. Traditional search algorithms were returning a high volume of irrelevant results, causing inefficiency and frustration among users who needed precise information. The existing system struggled to handle the growing volume of data and user queries, creating performance issues and user dissatisfaction. Most critically, the platform needed to provide precise, answer-focused search results rather than a generic list of search results to improve user satisfaction and productivity, particularly for the specialized needs of the engineering and scientific research community.

Solutions We Provided

• Implemented advanced AI-based, intuitive, and semantic search algorithms designed to fetch ‘answers’ instead of traditional search results. This approach ensures users receive precise and relevant information quickly.

• Utilized AWS Stacks with serverless technology, including AWS Glue, S3, AWS Lambda, SQS, AWS RDS, Athena, and AWS Elastic Search, to create a highly scalable and efficient platform that can handle increased data volumes and user queries.

• Provided seamless integration of technical information with analytical and search tools, catering to 28 engineering and scientific research-based domains.

The Results

• The new AI-based search algorithm improved search accuracy by 85%, significantly reducing the number of irrelevant search results and enhancing user satisfaction.

• User engagement on the platform increased by 40%, as users were able to find relevant information more quickly and easily.

• The platform now supports 1.4 million interactive graphs, 3.2 million PDF documents, 0.9 million HTML & interactive tables, and 8,700+ books and journals, ensuring a rich and diverse content offering.

• The scalable cloud infrastructure reduced operational costs by 30%, allowing the client to reinvest savings into further platform enhancements and user experience improvements.